- Location
- Calgary, Alberta, Canada
- Categories
- Data visualization Data analysis Machine learning Artificial intelligence
Socials
Achievements
Latest feedback
Experience feedback
Experience feedback
Experience feedback
Recent experiences
Data Analytics Capstone Project
PROJ 006
Is your organization looking to explore the value of data analytics? Students will work in teams applying critical thinking, skills and knowledge learned in their 17-week Data Analytics program to solve a problem or opportunity in your organization related to data. Using a data set provided by your organization, students will use data analysis methods to help you and your organization derive insights and make more informed decisions. Skill set: Manipulate data using modelling, ETL in a business context relevant to decision-making. Contextualize data in a format that maps to business objectives and aligns data analysis to strategic outcomes. Present data that communicates analysis effectively and accurately for a business audience using visualizations (dashboards) and reports. Python programming specific to data aggregation, preparation, visualization and analysis. Managing data in the cloud (Microsoft Azure). Understand the intersection of emerging clean technologies and data analytics.
Data Analytics Capstone Project
PROJ 006
Is your organization looking to explore the value of data analytics? Students will work in teams applying critical thinking, skills and knowledge learned in their 12-week Data Analytics program to solve a problem or opportunity in your organization related to data. Using a data set provided by your organization, students will use data analysis methods to help you and your organization derive insights and make more informed decisions. Training Components: Querying data using SQL scripting. Data Visualization - present data to communicate data analysis effectively and accurately. Python Programming Language - basic data science techniques using Python MS Excel - using Power Pivot and Power Query Database concepts - how to design and implement databases to maintain data integrity. Cloud principles - managing data in the cloud through Microsoft Azure.
Data Analytics Capstone Project
PROJ 006
Is your organization looking to explore the value of data analytics? Students will work in teams applying critical thinking, skills and knowledge learned in their 17-week Data Analytics program to solve a problem or opportunity in your organization related to data. Using a data set provided by your organization, students will use data analysis methods to help you and your organization derive insights and make more informed decisions. Training Components: Database concepts - how to design and implement databases to maintain data integrity. Querying data using SQL scripting. Manipulate data - using ETL principles to develop a data repository that can then be analyzed. Data Visualization - present data to communicate data analysis effectively and accurately. Python Programming Language - basic data science techniques using Python MS Excel - using Power Pivot and Power Query Cloud principles - managing data in the cloud through Microsoft Azure.
Data Analytics - Virtual Capstone
PROJ 006
Using a data set provided by your organization, students will use data analysis methods to help you and your organization derive insights and make more informed decisions. Based on the information you provide and the goals that you've shared with the students, they will provide you with an analysis and recommendations on issues of your choice. In this training program, students are developing the knowledge, skills, and aptitude to apply fundamental principles of data analytics to support business decision-making processes. Key Skills: Cloud principles - managing data in the cloud through Microsoft Azure. Database concepts - how to design and implement databases to maintain data integrity. Querying data using SQL scripting. Manipulate data - using ETL principles to develop a data repository that can then be analyzed. Data Visualization - present data to communicate data analysis effectively and accurately.